LATEST MANUSCRIPTS IN Machine Learning with Applications
Seyedhamidreza Alaie, Subhi J Al'Aref. Application of deep neural networks for inferring pressure in polymeric acoustic transponders/sensors.Machine learning with applications. 2023, 13:
Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang Bill Tseng. Time-to-event modeling for hospital length of stay prediction for COVID-19 patients.Machine learning with applications. 2022, 9: 100365
Shahrokh Shahi, Flavio H Fenton, Elizabeth M Cherry. Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study.Machine learning with applications. 2022, 8:
Paul M Kump, Junyi Xia, Sridhar Yaddanapudi, Erwei Bai. An automated treatment plan alert system to safeguard cancer treatments in radiation therapy.Machine learning with applications. 2022, 10:
Chenqi Guo, Tamara L Smith, Qianli Feng, Fabian Benitez-Quiroz, Frank Vicini, Douglas Arthur, Julia White, Aleix Martinez. A fully automatic framework for evaluating cosmetic results of breast conserving therapy.Machine learning with applications. 2022, 10:
Syed Muhammad Ishraque Osman, Ahmed Sabit. Predictors of COVID-19 vaccination rate in USA: A machine learning approach.Machine learning with applications. 2022, 10: 100408
Mert Seker, Anssi Männistö, Alexandros Iosifidis, Jenni Raitoharju. Automatic social distance estimation for photographic studies: Performance evaluation, test benchmark, and algorithm.Machine learning with applications. 2022, 10: 100427
Heba Elgazzar, Kyle Spurlock, Tanner Bogart. Evolutionary clustering and community detection algorithms for social media health surveillance.Machine learning with applications. 2021, 6: 100084
Sankaraiah Sreeramula, Deny Rahardjo. Estimating COVID-19 in Real-time: An Indonesia health policy perspective.Machine learning with applications. 2021, 6: 100136
Daniel Arias-Garzón, Jesús Alejandro Alzate-Grisales, Simon Orozco-Arias, Harold Brayan Arteaga-Arteaga, Mario Alejandro Bravo-Ortiz, Alejandro Mora-Rubio, Jose Manuel Saborit-Torres, Joaquim Ángel Montell Serrano, Maria de la Iglesia Vayá, Oscar Cardona-Morales, Reinel Tabares-Soto. COVID-19 detection in X-ray images using convolutional neural networks.Machine learning with applications. 2021, 6: 100138
L A Bugnon, J Raad, G A Merino, C Yones, F Ariel, D H Milone, G Stegmayer. Deep Learning for the discovery of new pre-miRNAs: Helping the fight against COVID-19.Machine learning with applications. 2021, 6: 100150
Tom R P Bishop, Stephanie von Hinke, Bruce Hollingsworth, Amelia A Lake, Heather Brown, Thomas Burgoine. Automatic classification of takeaway food outlet cuisine type using machine (deep) learning.Machine learning with applications. 2021, 6: None